A portable countermeasure device is provided comprising one or more directional antennae, one or more disruption components and at least one activator. The portable countermeasure device further comprises a body having a dual-grip configuration, with the directional antennae are affixed to a front portion of the body. The one or more disruption components may be internally mounted within the device body. The dual-grip configuration allows an operator to use his body to steady and support the device while maintaining the antenna on target. The second grip is positioned adjacent the first grip, with the first grip angled toward the rear of the device and the second grip angled toward the front of the device. The portable countermeasure device is aimed at a specific drone, the activator is engaged, and disruptive signals are directed toward the drone, disrupting the control, navigation, and other signals to and from the drone.

A method, computer-readable storage device and apparatus for encrypting a broadcast message of a base station are disclosed. For example, the method selects an encryption key for the broadcast message and encrypts the broadcast message using the encryption key to create an encrypted broadcast message. The method then transmits an identifier of the encryption key and transmits the encrypted broadcast message over a broadcast channel. A method for decrypting a broadcast message that is encrypted is also disclosed.

This disclosure describes systems, methods, and computer-readable media related to testing tools for devices. In some embodiments, a plurality of public keys may be received from a server via a secured network connection where each of the plurality of keys corresponds to a respective private key associated with an access point. A time-of-flight (ToF) measurement protocol may be initiated with one or more access points. Data generated by ToF measurement protocol with the one or more access points may be received. In some embodiments, the one or more access points may be authenticated based at least in part on the plurality of public keys. A location of a user device may be determined based at least in part on the received data.

A system for providing integrated detection and deterrence against an unmanned vehicle including but not limited to aerial technology unmanned systems using a detection element, a tracking element, an identification element and an interdiction or deterrent element. Elements contain sensors that observe real time quantifiable data regarding the object of interest to create an assessment of risk or threat to a protected area of interest. This assessment may be based e.g., on data mining of internal and external data sources. The deterrent element selects from a variable menu of possible deterrent actions. Though designed for autonomous action, a Human in the Loop may override the automated system solutions.

A portable countermeasure device is provided comprising one or more directional antennae, one or more disruption components and at least one activator. The portable countermeasure device further comprises a body, with the directional antennae are affixed to a front portion of the body. The one or more disruption components may be externally or internally mounted to the device body. The portable countermeasure device is aimed at a specific drone, the activator is engaged, and disruptive signals are directed toward the drone, disrupting the control, navigation, and other signals to and from the drone.

A control method, a control apparatus and a device for preventing pseudo GNSS signal interference, and a storage medium are provided. The method includes: in response to detecting that a received GNSS signal includes a pseudo GNSS signal, restraining a time service system of a communication device from tracking the received GNSS signal; and removing the restraining on the time service system in response to detecting that the pseudo GNSS signal disappears.

A technology is described for mitigating global positioning system (GPS) spoofer signals. A potentially spoofed GPS signal received via an antenna coupled to a GPS receiver can be identified. The potentially spoofed GPS signal can be applied to a spoofer signal nulling loop to generate a set of spoofer nulling weights. The set of spoofer nulling weights can produce a direction vector associated with the potentially spoofed GPS signal. The direction vector can be compared to a beamsteering vector. The potentially spoofed GPS signal can be determined as being a spoofer GPS signal when a misalignment between the direction vector and the beamsteering vector is above a defined threshold. The spoofer GPS signal can be converted to a spoofer mitigation signal that is applied to satellite track channels of the GPS receiver. The spoofer mitigation signal can produce a spatial null in a direction of the spoofer GPS signal.

Disclosed herein are system, method, and computer program product embodiments for detecting spoofing of a navigation device. A plurality of anti-spoofing techniques are provided. The plurality of anti-spoofing techniques detect interference with data provided by one or more navigation devices for a plurality of threat situations. Positioning, timing and frequency characteristics associated with the one or more navigation devices are analyzed in order to identify a threat situation among the plurality of threat situations. Based on the identified threat situation one or more of the anti-spoofing techniques are executed. The one or more anti-spoofing techniques can be executed in parallel in order to provide various anti-spoofing detection techniques at the same time.

A monitoring system using cooperative jamming and spoofing according to an embodiment of the present disclosure includes a spoofing relay to amplify and relay an illegal signal detected from an illegal transmitter according to a preset amplification coefficient, a cooperative jammer to transmit a jamming signal for changing the quality of a communication channel to an illegal receiver with a preset transmit power, and a monitor to calculate the amplification coefficient and the transmit power so that an information monitoring amount is maximum based on the illegal signal received from the spoofing relay.

An unmanned aerial vehicle (UAV) includes a sensor configured to detect an indicator of a geo-fencing device; and a flight controller configured to generate one or more signals that cause the UAV to operate in accordance with a set of flight regulations that are generated based on the detected indicator of the geo-fencing device.